Description

Copyright 2020

Edition: 1st

Online Video

ISBN-10: 0-13-655467-9

ISBN-13: 978-0-13-655467-7

4+ Hours of Video Instruction

Machine Learning is the scientific study of models and algorithms that train a computer to make predictions without explicit instruction. Machine Learning is a subset of Artificial Intelligence, which can be defined as computers that mimic human problem-solving. This video demonstrates the core principles of Machine Learning and AI, including supervised Machine Learning, unsupervised Machine Learning, neural networks, and social network theory.

Learn to master the foundational concepts of AI and Machine Learning. The LiveLessons video starts with an overview of Artificial Intelligence and covers applications of AI across industries and opportunities in AI for individuals, organizations, and ecosystems. It also covers the difference between narrow, general, and super AI.

Description

Shore up the foundational knowledge necessary to work with Artificial Intelligence and Machine Learning! This LiveLesson video covers the core principles of Artificial Intelligence and Machine Learning, including how to frame a problem in terms of Machine Learning and how Machine Learning is different than statistics. Learn about fundamental concepts including nearest neighbors, decision trees, and neural networks. The video wraps up covering timely machine learning topics such as cluster analysis, dimensionality reduction, and social networks.

Skill Level

Beginning to Intermediate

What You Will Learn

Learn key concepts in Machine Language, AI, and cloud computing and how these technologies can be used in business assessment and growth

Meet the future head on with core coverage of AI, ML, and data science essentials

Downloads

Downloads

Sample Content

Table of Contents

Introduction

Lesson 1: Decoding Artificial Intelligence1.1 Learn the evolution of AI1.2 Learn the difference between narrow, general, and super AI1.3 Understand applications of AI across industries1.4 Learn about opportunities in AI for individuals, organizations, and the ecosystem